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Geospatial Data Science Jobs (NOW HIRING)

Geospatial Data Analyst

Charleston, SC · On-site

$78K - $92K/yr

Use a range of data visualization tools and data science techniques to support the translation of ... Experience processing geospatial data in the Cloud About Lynker Lynker is a growing, employee owned ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

... Science, Data Science, Engineering, or a related technical discipline. • 12+ years of ... geospatial technology, software development, data engineering, data analysis, or a related ...

Demonstrated experience and proficiency with data science techniques including (but not limited to ... Knowledge of the National System for Geospatial-Intelligence (NSG) tasking, collection, processing ...

Senior Geospatial Data Engineer

Mclean, VA · On-site

$107K - $145K/yr

Bachelor's degree in Geography, GIS, Computer Science, Data Science, Engineering, or a related technical discipline. * 12+ years of professional experience in geospatial technology, software ...

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Geospatial Data Science information

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$22K

$77.5K

$122K

How much do geospatial data science jobs pay per year?

As of Aug 2, 2026, the average yearly pay for geospatial data science in the United States is $77,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,500.00 and $80,000.00 per year, depending on experience, location, and employer.

How does a Geospatial Data Scientist typically collaborate with other departments or teams within an organization?

Geospatial Data Scientists often work closely with professionals from diverse departments such as urban planning, environmental science, IT, and business analytics. Collaboration usually involves sharing spatial insights, integrating geospatial data with other datasets, and contributing to interdisciplinary projects that require spatial analysis or mapping. Effective communication is crucial, as you'll translate complex geospatial findings into actionable recommendations for non-technical stakeholders. This cross-functional teamwork not only broadens your understanding of organizational goals but also enhances the impact and visibility of geospatial analyses.

What is the difference between Geospatial Data Science vs GIS Analyst?

AspectGeospatial Data ScienceGIS Analyst
Required CredentialsDegree in Data Science, Geography, or related; often includes programming skillsDegree in Geography, GIS, or related; GIS certifications common
Work EnvironmentData analysis, modeling, programming, often in tech or research settingsMapping, spatial data management, using GIS software in various industries
Employer & Industry UsageTech companies, research institutions, government agencies focusing on spatial data analysisUrban planning, environmental agencies, utilities, and government agencies

While both roles work with spatial data, Geospatial Data Science emphasizes data analysis, modeling, and programming skills to extract insights from geospatial data. GIS Analysts focus more on mapping, data management, and using GIS software for spatial analysis. The roles often overlap but differ mainly in technical focus and application areas.

What are the key skills and qualifications needed to thrive as a Geospatial Data Scientist, and why are they important?

To thrive as a Geospatial Data Scientist, you need a solid background in statistics, spatial analysis, and programming, typically supported by a degree in geography, computer science, or a related field. Proficiency with GIS software (such as ArcGIS or QGIS), spatial databases, and coding languages like Python or R is essential, and certifications in GIS can be advantageous. Strong problem-solving skills, attention to detail, and effective communication help translate complex spatial data into actionable insights for diverse stakeholders. These skills ensure accurate data analysis, innovative solutions, and impactful decision-making in fields reliant on geographic information.

What is geospatial data science?

Geospatial data science is an interdisciplinary field that focuses on analyzing and interpreting data that has a geographic or spatial component. It combines techniques from data science, statistics, and geographic information systems (GIS) to extract insights, identify patterns, and solve problems related to location-based data. Professionals in this field work with mapping, remote sensing, spatial analysis, and visualization tools to support decision-making in areas like urban planning, environmental monitoring, and logistics.
More about Geospatial Data Science jobs
What cities are hiring for Geospatial Data Science jobs? Cities with the most Geospatial Data Science job openings:
What are the most commonly searched types of Geospatial Data Science jobs? The most popular types of Geospatial Data Science jobs are:
What states have the most Geospatial Data Science jobs? States with the most job openings for Geospatial Data Science jobs include:
Infographic showing various Geospatial Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $77,494 per year, or $37.3 per hour.

Geospatial Data Scientist with Security Clearance

MITRE Corporation

Bedford, MA • On-site

Other

Re-posted 5 days ago


MITRE Corporation rating

8.2

Company rating: 8.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

153rd of 439 rated engineering


Job description

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. Department Summary: MITRE's Model-Based Analytics Department (L144) is looking for qualified applicants to bring their geospatial, machine learning, advanced analytics, and applied research skills to bear on solving problems of critical national importance. MITRE's diverse work program provides opportunities to apply your expertise and creative thinking in challenging domains such as healthcare, transportation, and national security. Employees may also participate in MITRE's internal research and development program, which provides funding for innovative applied research that addresses our sponsors' hardest problems. Our department is an interdisciplinary department that thrives on having a large toolbox to support data- and model-driven decision making. We value people who can bring diverse and inclusive perspectives. Our department works to solve modeling and analytic problems in the public interest, in partnership with the government. We also actively conduct independent research in areas of interest to our government partners. If you are passionate about being a Data Scientist that specializes in Geospatial Information Sciences, your skill sets align with our capabilities, and you like working in a collaborative, team-oriented environment, we want to hear from you! Roles & Responsibilities: The successful candidate for this position is a geospatial data scientist who combines a solid theoretical and technical background with the ability to formulate problems, develop and evaluate solutions, and communicate results. Familiarity with advanced geospatial data science, modeling, and analysis techniques and methods (e.g., supervised and unsupervised machine learning, GeoAI, Geosimulation, patiotemporal graphs) is a plus. Hands-on software development skills are a must. Candidates should have a strong understanding of how to engineer spatial solutions for geospatial systems and architecture in both traditional and cloud computing environments. Lifelong learning and keeping up with the latest research and technologies is an essential part of working in this field. Roles and responsibilities include: * Support the development of geospatial data science, modeling, analysis, visualization, and engineering deliverables for sponsor projects and programs, internal research and development, and corporate strategic initiatives.
* Remain current on open-source, industry, academia, and US Government techniques and tools for geospatial data science, modeling, analysis, visualization, and engineering.
* Apply a variety of spatial data science techniques to tackle customer challenges to include geospatial statistics, spatial optimization, spatial pattern analysis, geospatial artificial intelligence, spatial autocorrelation, activity-based intelligence, imagery analysis, remote sensing, and geospatial data visualization approaches.
* Build and test geospatial prototypes in MITRE, government, and commercial cloud environments. Basic Qualifications: * Bachelor's degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related degree.
* Minimum of 5 years of experience with a bachelor's degree or 3 years of experience with a master's degree, or a PhD with relevant hands-on experience using Geospatial data science techniques.
* Top Secret clearance
* Applied experience with common GIS tools, developing geospatial workflows, and visualizations using Python.
* Applied experience in spatial analysis and modeling, and ETL of spatiotemporal datasets and managing spatial databases.
* Applied experience in the configuration of web-mapping, dashboard applications, and remotely sensed data.
* Familiarity with geostatistics, spatial machine learning, geosimulation, or GeoAI, and multispectral and hyperspectral imagery or synthetic aperture radar.
* Familiarity working with spatiotemporal data in graph databases, such as ArcGIS Knowledge, Neo4j, or ArangoDB.
* Familiarity developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API.
* Familiarity with geospatial data architectures and spatial database design and management, as well as containerization concepts.
* This position requires a minimum of 50% hybrid on-site.
* Per the U.S. Government's eligibility requirements, you must be a U.S Citizen to be considered for a security clearance. Preferred Qualifications: * Active TS/SCI with polygraph.
* Advanced degree in Geospatial Data Science, Geospatial Intelligence, Geographic Information Systems, GeoInformatics, Computer Science, Mathematics, or related technical discipline.
* Minimum of 8 years of experience with a bachelor's degree or 5 years of experience with a master's degree, or 3 years of hands-on relevant experience using Geospatial data science techniques with a PhD.
* Experience leading technical development tasks across multi-disciplinary teams. * Applied experience with other software development languages, e.g., C++, Java, C#, JavaScript.
* Applied experience with spatiotemporal big data technologies, e.g., GeoMesa, GeoTrellis, Data Bricks, or GeoSpark (Apache Sedona).
* Applied experience with data architecture containerization concepts, e.g. Docker or Kubernetes.
* Applied experience working with remotely sensed data to include aerial and satellite imagery, multi- and hyper-spectral imagery, LiDAR, or synthetic aperture radar.
* Applied experience with applying spatial modeling and analysis techniques to the atmospheric, climate, marine, oceanic, hydrologic, geomorphologic, critical infrastructure, transportation, network, telemetry, or terrain domains.
* Experience leading or conducting research.
* Experience designing geospatial data science tasking and/or leading a team of geospatial data scientists.
* Applied experience with developing web applications with common libraries, e.g. OpenLayers, Leaflet, ArcGIS JS API. * Familiarity implementing DevSecOps, DataOps, or MLOps in application development. This requisition requires the candidate to have a minimum of the following clearance(s):
Top Secret This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top Secret Salary compensation range and midpoint:
$124,400 - $155,500 - $186,600 Annual Work Location Type:
Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email for general support and for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here . Copyright © 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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About MITRE

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Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities, and a culture of innovation that embraces diversity, inclusion, flexibility, collaboration, and career growth. If this sounds like the choice you want to make, then choose MITRE-and make a difference with us. MITRE is a trusted operator of federally funded research and development centers and we're on a mission to make the world a safer place-for all of humanity, today and in the future. To deliver on our mission, we need the world's best talent and leaders-groundbreakers and partnership-builders on a global scale in areas like healthcare, artificial intelligence, critical infrastructure resiliency, pandemic management, and cybersecurity. In return, we have the privilege of backing you with thousands of technical experts in diverse fields, a culture of innovation and knowledge sharing, access to data and resources uniquely available to MITRE through our wide-ranging partnerships across government, industry and academia.

Industry

It services

Company size

5,001 - 10,000 Employees

Headquarters location

McLean, VA, US

Year founded

1958

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